modelId stringlengths 4 81 | tags list | pipeline_tag stringclasses 17
values | config dict | downloads int64 0 59.7M | first_commit timestamp[ns, tz=UTC] | card stringlengths 51 438k | embedding list |
|---|---|---|---|---|---|---|---|
AnonymousSub/rule_based_roberta_twostagetriplet_hier_epochs_1_shard_1_wikiqa | [
"pytorch",
"roberta",
"text-classification",
"transformers"
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"... | 23 | null | Access to model suplucky/sup is restricted and you are not in the authorized list. Visit https://huggingface.co/suplucky/sup to ask for access. | [
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AnonymousSub/unsup-consert-base_copy | [
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license: apache-2.0
---
Model converted to use with, https://github.com/NeusZimmer/ONNX-ModularUI
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license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### DreamStep Dreambooth model trained by grisha2000 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab ... | [
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AnonymousSubmission/pretrained-model-1 | [] | null | {
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license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: DIPROMATS_subtask_1_base_train
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
... | [
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Anorak/nirvana | [
"pytorch",
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"text2text-generation",
"unk",
"dataset:Anorak/autonlp-data-Niravana-test2",
"transformers",
"autonlp",
"co2_eq_emissions",
"autotrain_compatible"
] | text2text-generation | {
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"n... | 7 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-finetuned-lr1e-06-epochs50
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
... | [
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AnthonyNelson/DialoGPT-small-ricksanchez | [
"pytorch",
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"text-generation",
"transformers",
"conversational"
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"no_repeat_ngram_size... | 12 | null | ---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
datasets:
- klue
metrics:
- f1
model-index:
- name: kogpt2-base-v2-finetuned-klue-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: klue
type: klue
config: ner
split: validatio... | [
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Anthos23/distilbert-base-uncased-finetuned-sst2 | [
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"tensorboard",
"distilbert",
"text-classification",
"transformers",
"generated_from_keras_callback",
"license:apache-2.0"
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... | 21 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: ec_classfication_0502_distilbert_base_uncased
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then rem... | [
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Anthos23/my-awesome-model | [
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"tf",
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"text-classification",
"transformers"
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"... | 30 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-finetuned-lr1e-06-epochs10
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
... | [
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ArBert/albert-base-v2-finetuned-ner-agglo | [
"pytorch",
"tensorboard",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
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"no_re... | 8 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# ellabettison/blocking-model
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for ta... | [
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ArBert/bert-base-uncased-finetuned-ner-agglo | [] | null | {
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license: afl-3.0
---
Sp-bert (BERT for Scandinavian Politics) was trained on political texts coming from Parliamentary speeches in four languages: Norwegian, Swedish, Danish and Icelandic. | [
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ArBert/bert-base-uncased-finetuned-ner-kmeans-twitter | [] | null | {
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"num_beams... | 0 | null | Access to model amogh23/autotrain-sentiment-54660127837 is restricted and you are not in the authorized list. Visit https://huggingface.co/amogh23/autotrain-sentiment-54660127837 to ask for access. | [
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ArBert/bert-base-uncased-finetuned-ner | [
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"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
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"no_repeat... | 8 | null | ---
license: mit
language:
- en
tags:
- cosmology
- emulator
- physics
- 21cmFAST
---
# 21cmEMU
[][pypi_]
[][status]
[][python version]
[![Li... | [
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ArBert/roberta-base-finetuned-ner-agglo-twitter | [
"pytorch",
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"no_... | 12 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
split... | [
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ArBert/roberta-base-finetuned-ner-gmm | [] | null | {
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license: bigscience-openrail-m
---
# Automated cell nuclei segmentation and classification
Models of the [tumourkit](https://github.com/Jerry-Master/lung-tumour-study) library. The key idea behind these models is illustrated by the following image.
![graph example](https://huggingface.co/Jerry-Master/Hovernet-pl... | [
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ArBert/roberta-base-finetuned-ner-kmeans-twitter | [
"pytorch",
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"token-classification",
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"no_... | 10 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | [
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Araby/Arabic-TTS | [] | null | {
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datasets:
- imagenet-1k
library_name: transformers
pipeline_tag: image-classification
license: other
tags:
- vision
- image-classification
---
# MobileViTv2 (mobilevitv2-1.0-imagenet1k-256)
<!-- Provide a quick summary of what the model is/does. -->
MobileViTv2 is the second version of MobileViT. It was proposed ... | [
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AriakimTaiyo/DialoGPT-revised-Kumiko | [
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"no_repeat_ngram_size... | 6 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-Cartpole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
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ArthurBaia/bert-base-portuguese-cased-finetuned-squad | [] | null | {
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---
tags:
- autotrain
- text-generation
widget:
- text: "I love 🤗 AutoTrain because "
datasets:
- huggingface/autotrain-data-z0yf-urlq-kec7
co2_eq_emissions:
emissions: 0
---
# Model Trained Using AutoTrain
- Problem type: Text Generation
- CO2 Emissions (in grams): 0.0000
## Validation Metrics
loss: nan
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AshLukass/AshLukass | [] | null | {
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"max_length": null,
"min_length": null,
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"num_beams... | 0 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### VanGoghStyle2 Dreambooth model trained by reallylongaddress with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A... | [
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Ashl3y/model_name | [] | null | {
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license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: CoryMagic/wikitext-distill
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# CoryMag... | [
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AshtonBenson/DialoGPT-small-quentin-coldwater | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
split... | [
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Aspect11/DialoGPT-Medium-LiSBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 7 | 2023-05-02T10:13:18Z | ---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- denis-gordeev/autotrain-data-insightful_keywords_2
co2_eq_emissions:
emissions: 1.2479206832856347
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 54689127880
- CO2 Emis... | [
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0... |
Atchuth/DialoGPT-small-MBOT | [] | null | {
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"num_beams... | 0 | null | ---
license: afl-3.0
tags:
- summarization
- t5
- medical
- clinical
language: en
datasets:
- MIMIC-III
widget:
- again noted is the large intraparenchymal hemorrhage in the posterior right frontal lobe with extension into both lateral ventricles. the degree of surrounding edema and effacement of adjacent sulci is unch... | [
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Ateeb/EmotionDetector | [
"pytorch",
"funnel",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"FunnelForSequenceClassification"
],
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"no... | 32 | null |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- textual_inversion
inference: true
---
# Textual inversion text2image fine-tuning - LittleFlyingSheep/textual_inversion_cat
These are textual inversion a... | [
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... |
Atlasky/Turkish-Negator | [] | null | {
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"num_beams... | 0 | 2023-05-02T10:36:14Z | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-unit4test
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: m... | [
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0.... |
Augustab/distilbert-base-uncased-finetuned-cola | [] | null | {
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"num_beams... | 0 | 2023-05-02T10:39:28Z |
---
tags:
- autotrain
- text-generation
widget:
- text: "I love 🤗 AutoTrain because "
datasets:
- huggingface/autotrain-data-5u7lo-5p6l-zjp0
co2_eq_emissions:
emissions: 0
---
# Model Trained Using AutoTrain
- Problem type: Text Generation
- CO2 Emissions (in grams): 0.0000
## Validation Metrics
loss: nan
| [
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Augustvember/WOKKAWOKKA | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 12 | 2023-05-02T10:40:46Z | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# amittian/setfit_asoc_version_0_0_1
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-sh... | [
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0.01... |
Augustvember/WokkaBot3 | [
"conversational"
] | conversational | {
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"num_beams... | 0 | null | ---
license: openrail
datasets:
- balgot/stylegan3-annotated
language:
- en
metrics:
- mse
tags:
- face-generation
- stylegan3
library_name: pytorch
---
# Text-to-StyleGAN3 Latent Space Translation
This model was created as a part of the project for FI:PA228 (Masaryk University),
inspired by this paper: [Face Genera... | [
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Augustvember/WokkaBot5 | [] | null | {
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"num_beams... | 0 | 2023-05-02T10:47:06Z | ---
tags:
- CartPole-v1
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
... | [
-0.010161017067730427,
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0.0703190416097641,
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-0.008817912079393864,... |
Augustvember/wokkabottest2 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"max_length": 1000
},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 13 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-fr
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
config: PAN-X.fr
split: validatio... | [
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Ayham/albert_distilgpt2_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
"model_type": "encoder-decoder",
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"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 9 | null | ---
tags:
- LunarLander-v2
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metr... | [
-0.014481805264949799,
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-0.0015546366339549422,
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0.04816577583551407,
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0.059415753930807114,
0.03343705087900162,
-0.02714565023779869,
0.004579151980578899,
0... |
Ayham/bert_gpt2_summarization_cnndm | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
"model_type": "encoder-decoder",
"task_specific_params": {
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"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 4 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: imdb_model
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# imdb_model
This model ... | [
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0.0... |
Ayham/xlnet_bert_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
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},
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"no_re... | 7 | 2023-05-02T12:16:17Z | ---
license: apache-2.0
language:
- zh
---
# BIOC GPT | [
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0.01043711882084608,
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0.042302943766117096,
0.03594... |
Aymene/opus-mt-en-ro-finetuned-en-to-ro | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- generated_from_keras_callback
model-index:
- name: layoutlm-funsd-tf
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# layoutlm-funsd-tf
This model is a f... | [
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0.030... |
Ayoola/pytorch_model | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | [
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0.0446... |
Ayou/chinese_mobile_bert | [
"pytorch",
"mobilebert",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"MobileBertForMaskedLM"
],
"model_type": "mobilebert",
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},
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"min_length": null,
"no_repea... | 16 | null | ---
license: openrail
---
Indians are known for bringing an incredible level of energy and excitement to whatever sporting event they participate in. They have a special and amazing love for the sport of playing it, and in particular, cricket is one of the sports that they enjoy playing. Not only do the people of India... | [
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0.0... |
Azaghast/DistilBART-SCP-ParaSummarization | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"BartForConditionalGeneration"
],
"model_type": "bart",
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},
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"no_repeat_ngr... | 8 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: PixelCopter
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
metrics:
... | [
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Azaghast/GPT2-SCP-ContainmentProcedures | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"no_repeat_ngram_size... | 5 | 2023-05-02T13:03:03Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | [
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Azaghast/GPT2-SCP-Descriptions | [
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"no_repeat_ngram_size... | 5 | null | Access to model kobamasa/kobakoba is restricted and you are not in the authorized list. Visit https://huggingface.co/kobamasa/kobakoba to ask for access. | [
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Azaghast/GPT2-SCP-Miscellaneous | [
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"text-generation",
"transformers"
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"no_repeat_ngram_size... | 5 | null | # Harry Potter Chatbot
This model is a chatbot designed to generate responses in the style of Harry Potter, the protagonist from J.K. Rowling's popular book series and its movie adaptations.
## Model Architecture
The `harry_potter_chatbot` is based on the [`DialoGPT-medium`](https://huggingface.co/microsoft/DialoGPT... | [
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Azuris/DialoGPT-medium-envy | [
"pytorch",
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"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 12 | null | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# sheetalp91/setfit-model-1
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot learni... | [
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BAHIJA/distilbert-base-uncased-finetuned-cola | [
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"tensorboard",
"distilbert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | {
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... | 36 | null | ---
tags:
- generated_from_trainer
datasets:
- go_emotions
metrics:
- accuracy
- f1
model-index:
- name: goemotions_bertspanish_finetunig_d
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: go_emotions
type: go_emotions
config: simplified
spl... | [
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BE/demo-sentiment2021 | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole8
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: m... | [
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BJTK2/model_name | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- FrozenLake-v1-4x4
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: doxLake-frozen
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4
type: FrozenLake-v1-4x4
metrics:
- type: mea... | [
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BOON/electra_qa | [] | null | {
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"num_beams... | 0 | 2023-05-02T13:22:04Z | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: jjdelgado/my_newsgroups_roberta_model
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# jjd... | [
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BSC-LT/roberta-base-biomedical-es | [
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] | fill-mask | {
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"no_repeat_ngra... | 161 | null | Access to model MeanBoss/Test is restricted and you are not in the authorized list. Visit https://huggingface.co/MeanBoss/Test to ask for access. | [
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BSen/wav2vec2-large-xls-r-300m-turkish-colab | [
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"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
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"no_repeat_ngram_s... | 6 | null | ---
license: openrail
---
## Thanks
Big thanks to `Google` for lending us TPUv4s to train this model on. Big thanks to the Huggingface and Diffusers team for organising the JAX Diffusers sprint, giving support and making the JAX training scripts. Big thanks to StabilityAI for opensourcing the Stable Diffusion model, ... | [
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Backedman/DialoGPT-small-Anika | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 6 | null | ---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
datasets:
- klue
metrics:
- f1
model-index:
- name: kogpt2-base-v2-finetuned-klue-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: klue
type: klue
config: ner
split: validatio... | [
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Bagus/wav2vec2-xlsr-japanese-speech-emotion-recognition | [
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"wav2vec2",
"audio-classification",
"ja",
"dataset:jtes",
"transformers",
"audio",
"speech",
"speech-emotion-recognition",
"has_space"
] | audio-classification | {
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],
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"... | 26 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: donut-base-sroie
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut-base-sroie
This mo... | [
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Bakkes/BakkesModWiki | [] | null | {
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"num_beams... | 0 | null | Access to model Leonhard1337/helloAI is restricted and you are not in the authorized list. Visit https://huggingface.co/Leonhard1337/helloAI to ask for access. | [
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Barbarameerr/Barbara | [] | null | {
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library_name: sample-factory
tags:
- deep-reinforcement-learning
- reinforcement-learning
- sample-factory
model-index:
- name: APPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: doom_health_gathering_supreme
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Barkavi/totto-t5-base-bert-score-121K | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
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] | text2text-generation | {
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"no_repeat_ngram_s... | 51 | null | ---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
datasets:
- klue
metrics:
- f1
model-index:
- name: kogpt2-base-v2-finetuned-klue-ner
results:
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name: Token Classification
type: token-classification
dataset:
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type: klue
config: ner
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Batsy24/DialoGPT-medium-Twilight_BellaBot | [
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"gpt2",
"text-generation",
"transformers",
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] | conversational | {
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"no_repeat_ngram_size... | 8 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: t5-small-codesearchnet-multilang-python-java-javascript-go
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread an... | [
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BeIR/query-gen-msmarco-t5-base-v1 | [
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"t5",
"text2text-generation",
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"autotrain_compatible"
] | text2text-generation | {
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"no_repeat_ngram_s... | 1,816 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: t5-small-codesearchnet-multilang-python
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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Bee-Garbs/DialoGPT-cartman-small | [] | null | {
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"num_beams... | 0 | 2023-05-02T14:42:44Z | ---
library_name: ml-agents
tags:
- SnowballTarget
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech... | [
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Beelow/model | [] | null | {
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tags:
- autotrain
- text-classification
language:
- unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- bodik/autotrain-data-js-classification-6-cat-dist-bert-uncased
co2_eq_emissions:
emissions: 0.0013888828664696802
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 5... | [
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Begimay/Task | [] | null | {
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"num_beams... | 0 | null | ---
license: openrail
datasets:
- OpenAssistant/oasst1
tags:
- male
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/ma... | [
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BenDavis71/GPT-2-Finetuning-AIRaid | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 10 | 2023-05-02T14:47:58Z | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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BertChristiaens/EmojiPredictor | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"DistilBertForTokenClassification"
],
"model_type": "distilbert",
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... | 6 | 2023-05-02T14:57:08Z | ---
license: cc-by-4.0
datasets:
- patomp/thai-mscoco-2014-captions
metrics:
- recall
---
## Requirements
```bash
pip install pythainlp
pip install gensim>=4.3.1
pip install git+https://github.com/openai/CLIP.git
```
## Usage
Encode a text by
```python
from transformers import AutoModel
text = 'หมากำลังวิ่งในสนามหญ... | [
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Betaniaolivo/Foto | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- funsd-layoutlmv3
model-index:
- name: lilt-en-funsd
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
#... | [
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0.03... |
Bharathdamu/wav2vec2-large-xls-r-300m-hindi-colab | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
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},
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"no_repeat_ngram_s... | 4 | null | ---
tags:
- generated_from_keras_callback
model-index:
- name: Bert_class_1e-10
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Bert_class_1e-10
This model is a fin... | [
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Bharathdamu/wav2vec2-large-xls-r-300m-hindi | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
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},
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"no_repeat_ngram_s... | 10 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
split... | [
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... |
BigSalmon/Flowberta | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
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"no_repeat_ngra... | 13 | null | ---
license: mit
library_name: sklearn
tags:
- sklearn
- skops
- text-classification
model_format: pickle
model_file: skops-_0q41qzv.pkl
---
# Model description
This is a `RandomForestClassifier` model trained on JeVeuxAider dataset. As input, the model takes text embeddings encoded with camembert-base (768 tokens)
... | [
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0.... |
BigSalmon/GPTNeo350MInformalToFormalLincoln2 | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
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"no_repeat_ngram... | 8 | null | ---
tags:
- generated_from_trainer
datasets:
- go_emotions
metrics:
- accuracy
- f1
model-index:
- name: goemotions_bertspanish_finetunig_e
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: go_emotions
type: go_emotions
config: simplified
spl... | [
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... |
BigSalmon/GPTNeo350MInformalToFormalLincoln3 | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
"task_specific_params": {
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},
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"no_repeat_ngram... | 10 | null | This is where you write how to use? Test!
Okay it works :)
## TODO
* [ ] Minimal working code
* [ ] Dataset description | [
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0.040... |
BigSalmon/InformalToFormalLincoln19 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"no_repeat_ngram_size... | 11 | null | ---
language: en
tags:
- multivae
license: apache-2.0
---
### Downloading this model from the Hub
This model was trained with multivae. It can be downloaded or reloaded using the method `load_from_hf_hub`
```python
>>> from multivae.models import AutoModel
>>> model = AutoModel.load_from_hf_hub(hf_hub_path="your_hf_us... | [
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BigSalmon/TS3 | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible",
"has_space"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
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"no_repeat_n... | 7 | null | Lora fine tune trained on this [dataset](https://huggingface.co/datasets/ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered)
```python
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{data_point["instruction"]}
### Response:
{data_point... | [
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0.014917726628482342,
... |
Biniam/en_ti_translate | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"translation",
"autotrain_compatible"
] | translation | {
"architectures": [
"MarianMTModel"
],
"model_type": "marian",
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngram_size... | 14 | 2023-05-02T16:43:42Z | ---
widget:
structuredData:
SepalLengthCm:
- 5.1
- 4.9
- 6.2
SepalWidthCm:
- 3.5
- 3
- 3.4
PetalLengthCm:
- 1.4
- 1.4
- 5.4
PetalWidthCm:
- 0.2
- 0.2
- 2.3
tags:
- tabular-classification
- sklearn
---
### How to use
```python
import joblib
from sklearn... | [
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BogdanKuloren/continual-learning-paper-embeddings-model | [
"pytorch",
"mpnet",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"MPNetModel"
],
"model_type": "mpnet",
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"no_repeat_ngram_size": n... | 11 | 2023-05-02T17:16:16Z | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: jva-missions-report-v2
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# jva-missions-repor... | [
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0.05... |
BossLee/t5-gec | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": true,
"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 6 | 2023-05-02T17:23:56Z | ---
license: cc-by-4.0
tags:
- generated_from_trainer
metrics:
- f1
- recall
- accuracy
- precision
model-index:
- name: bertin-roberta-fine-tuned-text-classification-SL-data-augmentation-test
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to... | [
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0.0318... |
BotterHax/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 8 | 2023-05-02T17:24:12Z | ---
license: other
tags:
- vision
- image-segmentation
- generated_from_trainer
model-index:
- name: segformer-b0-finetuned-human-parsing
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then r... | [
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0... |
Branex/gpt-neo-2.7B | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
datasets:
- OpenAssistant/oasst1
language:
- en
metrics:
- accuracy
library_name: adapter-transformers
pipeline_tag: text-classification
--- | [
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0.020815366879105568,
0.03296925127506256,
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... |
Brinah/1 | [] | null | {
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"num_beams... | 0 | null | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... | [
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Broadus20/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"no_repeat_ngram_size... | 9 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: bert-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->... | [
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Buntan/bert-finetuned-ner | [
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"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
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] | token-classification | {
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"no_repeat... | 8 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: transcriber-t5-v6
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# transcriber-t5-v6... | [
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CAMeL-Lab/bert-base-arabic-camelbert-ca-ner | [
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"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
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"no_repeat... | 85 | null | ---
license: unknown
inference: false
tags:
- mlconsole
- tabular-classification
library_name: mlconsole
metrics:
- accuracy
- loss
datasets:
- production.csv_(1)
model-index:
- name: production_test
results:
- task:
type: tabular-classification
name: tabular-classification
... | [
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CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-msa | [
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"tf",
"bert",
"token-classification",
"ar",
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"transformers",
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"autotrain_compatible"
] | token-classification | {
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"no_repeat... | 71 | null | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
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CAMeL-Lab/bert-base-arabic-camelbert-da-ner | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
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},
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"min_length": null,
"no_repeat... | 42 | null | ---
license: mit
datasets:
- wikipedia
language:
- it
widget:
- text: "milano è una <mask> dell'italia"
example_title: "Example 1"
- text: "giacomo leopardi è stato uno dei più grandi <mask> del classicismo italiano"
example_title: "Example 2"
- text: "la pizza è un noto simbolo della <mask> gastronomica italiana"
... | [
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CAMeL-Lab/bert-base-arabic-camelbert-da-pos-egy | [
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"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
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] | token-classification | {
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"no_repeat... | 32 | null | ---
inference:
parameters:
do_sample: true
max_length: 384
top_p: 0.9
repetition_penalty: 1.0
language:
- en
license: mit
tags:
- "text2text generation"
task:
name: "lyrics interpretation"
type: "text2text generation"
widget:
-
text: "Explain: \nLoving him is like driving a new Ma... | [
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CAMeL-Lab/bert-base-arabic-camelbert-da-pos-msa | [
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"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
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] | token-classification | {
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"no_repeat... | 27 | null | ---
inference:
parameters:
do_sample: true
max_length: 384
top_p: 0.9
repetition_penalty: 1.0
language:
- en
license: mit
tags:
- "text2text generation"
task:
name: "poem interpretation"
type: "text2text generation"
widget:
-
text: "Explain: \nThe Lost Boy\n\nBoy it really stinks ... | [
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CAMeL-Lab/bert-base-arabic-camelbert-da | [
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"fill-mask",
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"no_repeat_ngram_size... | 449 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus6 | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
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"no_rep... | 34 | null | ---
datasets:
- logo-wizard/modern-logo-dataset
tags:
- text-to-image
- lora
- stable-diffusion
pipeline_tag: text-to-image
license: creativeml-openrail-m
---
# LoRA text2image fine-tuning - eewwann/logo-diffusion-lora-v10
These are LoRA with Hadamard Product (LoHa) adaption weights for [stabilityai/stable-diffusion-2-... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-poetry | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:1905.05700",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
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"no_rep... | 31 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.50 +/- 2.76... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-msa | [
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"ar",
"arxiv:2103.06678",
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"no_repeat... | 1,862 | null | ## Psychology-Alpaca-RM
- PEFT adapter layers for a reward model based on ``decapoda-research/llama-7b-hf``.
- Trained with a small subset (110 data points) of ``samhog/cgpt-pairs`` with 10K prompts, each with two answers (one 'good', one 'bad') | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix | [
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"no_repeat_ngram_size... | 20,880 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-poetry | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:1905.05700",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
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"no_rep... | 25 | null | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-sixteenth | [
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"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
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] | fill-mask | {
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"no_repeat_ngram_size... | 26 | null | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... | [
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CAUKiel/JavaBERT-uncased | [
"pytorch",
"safetensors",
"bert",
"fill-mask",
"java",
"code",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 7 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: expert-freelaw
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ... | [
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0.0240... |
CAUKiel/JavaBERT | [
"pytorch",
"safetensors",
"bert",
"fill-mask",
"code",
"arxiv:2110.10404",
"arxiv:1910.09700",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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},
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"no_repeat_ngram_size... | 388 | null | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: Frozen... | [
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... |
Cameron/BERT-eec-emotion | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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"no_rep... | 36 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
split... | [
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Cameron/BERT-mdgender-wizard | [
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"no_rep... | 30 | null | ---
library_name: "transformers.js"
---
https://huggingface.co/openai/whisper-small.en with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we reco... | [
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Canadiancaleb/DialoGPT-small-jesse | [
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"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 9 | null | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-amazon-en-es
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, th... | [
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Canadiancaleb/jessebot | [] | null | {
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"num_beams... | 0 | null | ---
license: openrail
tags:
- scat
- lora
- stable diffusion
---
Here's the defecation lora, it was available on Civitai until the ban on scat content.
You can use various trigger words to get different effects, like "Scat", "Disposal", "Feces" and so on.
The main problem with this model is that that it tends to confus... | [
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CapitainData/wav2vec2-large-xlsr-turkish-demo-colab | [] | null | {
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library_name: "transformers.js"
---
https://huggingface.co/facebook/nllb-200-distilled-600M with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready... | [
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... |
Capreolus/birch-bert-large-msmarco_mb | [
"pytorch",
"tf",
"jax",
"bert",
"next-sentence-prediction",
"transformers"
] | null | {
"architectures": [
"BertForNextSentencePrediction"
],
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"no_rep... | 1 | null | ---
language:
- he
metrics:
- accuracy
library_name: transformers
pipeline_tag: text-classification
tags:
- legal
--- | [
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Capreolus/electra-base-msmarco | [
"pytorch",
"tf",
"electra",
"text-classification",
"arxiv:2008.09093",
"transformers"
] | text-classification | {
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"... | 110 | null | ---
library_name: "transformers.js"
---
https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your m... | [
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Carlork314/Xd | [] | null | {
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"num_beams... | 0 | null | ---
library_name: "transformers.js"
---
https://huggingface.co/distilbert-base-cased-distilled-squad with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-... | [
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CarlosPR/mt5-spanish-memmories-analysis | [
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"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"no_repeat... | 7 | null | ---
library_name: "transformers.js"
---
https://huggingface.co/bert-base-uncased with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend ... | [
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Carolhuehuehuehue/Sla | [] | null | {
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"num_beams... | 0 | null | ---
library_name: "transformers.js"
---
https://huggingface.co/sshleifer/distilbart-cnn-6-6 with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we... | [
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Cedille/fr-boris | [
"pytorch",
"gptj",
"text-generation",
"fr",
"dataset:c4",
"arxiv:2202.03371",
"transformers",
"causal-lm",
"license:mit",
"has_space"
] | text-generation | {
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],
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"no_repeat_ngram_size... | 401 | null | ---
library_name: "transformers.js"
---
https://huggingface.co/google/flan-t5-small with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recomme... | [
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0.0... |
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